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142 lines
4.1 KiB
Go
142 lines
4.1 KiB
Go
package vlm
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import (
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"context"
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"fmt"
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"strings"
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"github.com/Tencent/WeKnora/internal/logger"
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"github.com/Tencent/WeKnora/internal/models/provider"
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"github.com/Tencent/WeKnora/internal/models/utils/ollama"
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"github.com/Tencent/WeKnora/internal/types"
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)
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// VLM defines the interface for Vision Language Model operations.
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type VLM interface {
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// Predict sends one or more images with a text prompt to the VLM and returns the generated text.
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Predict(ctx context.Context, imgBytes [][]byte, prompt string) (string, error)
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GetModelName() string
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GetModelID() string
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}
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// Config holds the configuration needed to create a VLM instance.
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type Config struct {
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Source types.ModelSource
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BaseURL string
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ModelName string
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APIKey string
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ModelID string
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InterfaceType string // "ollama" or "openai" (default)
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Provider string
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// MaxConcurrency caps concurrent background calls to this model; 0 falls
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// back to the process-wide default (see limiter.GateN).
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MaxConcurrency int
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Extra map[string]any
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// CustomHeaders 允许在调用远程 API 时附加自定义 HTTP 请求头(类似 OpenAI Python SDK 的 extra_headers)。
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CustomHeaders map[string]string
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AppID string
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AppSecret string
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}
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// ConfigFromModel 根据 types.Model 构造 vlm.Config。
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// 生产路径(从 DB 拉起)和测试连接路径(临时表单)共享这份映射。
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// appID / appSecret 是已解密的 WeKnoraCloud 凭证,调用方负责传入。
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// InterfaceType 会根据 source / 模型参数自动回退到合理默认值。
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func ConfigFromModel(m *types.Model, appID, appSecret string) *Config {
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if m == nil {
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return nil
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}
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ifType := m.Parameters.InterfaceType
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if ifType == "" {
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if m.Source == types.ModelSourceLocal {
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ifType = "ollama"
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} else {
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ifType = "openai"
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}
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}
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return &Config{
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ModelID: m.ID,
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APIKey: m.Parameters.APIKey,
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BaseURL: m.Parameters.BaseURL,
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ModelName: m.Name,
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Source: m.Source,
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InterfaceType: ifType,
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Provider: m.Parameters.Provider,
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MaxConcurrency: m.Parameters.MaxConcurrency,
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Extra: stringMapToAnyMap(m.Parameters.ExtraConfig),
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CustomHeaders: m.Parameters.CustomHeaders,
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AppID: appID,
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AppSecret: appSecret,
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}
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}
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func stringMapToAnyMap(in map[string]string) map[string]any {
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if in == nil {
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return nil
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}
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out := make(map[string]any, len(in))
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for k, v := range in {
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out[k] = v
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}
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return out
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}
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// NewVLM creates a VLM instance based on the provided configuration.
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func NewVLM(config *Config, ollamaService *ollama.OllamaService) (VLM, error) {
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v, err := newVLM(config, ollamaService)
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if err != nil {
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return v, err
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}
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if logger.LLMDebugEnabled() {
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v = &debugVLM{inner: v}
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}
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v, err = wrapVLMLangfuse(v, nil)
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// Outermost: hold the per-model concurrency slot only around the real
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// provider round-trip, so the wait is excluded from debug/langfuse timing.
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return wrapVLMConcurrency(v, config.MaxConcurrency, err)
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}
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func newVLM(config *Config, ollamaService *ollama.OllamaService) (VLM, error) {
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ifType := strings.ToLower(config.InterfaceType)
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if ifType == "ollama" || config.Source == types.ModelSourceLocal {
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return NewOllamaVLM(config, ollamaService)
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}
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providerName := provider.ProviderName(config.Provider)
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if providerName == "" {
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providerName = provider.DetectProvider(config.BaseURL)
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}
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if providerName == provider.ProviderWeKnoraCloud {
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return NewWeKnoraCloudVLM(config)
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}
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return NewRemoteAPIVLM(config)
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}
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// NewVLMFromLegacyConfig creates a VLM from a legacy VLMConfig (inline BaseURL/APIKey/ModelName).
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func NewVLMFromLegacyConfig(vlmCfg types.VLMConfig, ollamaService *ollama.OllamaService) (VLM, error) {
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if !vlmCfg.IsEnabled() {
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return nil, fmt.Errorf("VLM config is not enabled")
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}
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ifType := vlmCfg.InterfaceType
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if ifType == "" {
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ifType = "openai"
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}
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source := types.ModelSourceRemote
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if strings.EqualFold(ifType, "ollama") {
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source = types.ModelSourceLocal
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}
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return NewVLM(&Config{
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Source: source,
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BaseURL: vlmCfg.BaseURL,
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ModelName: vlmCfg.ModelName,
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APIKey: vlmCfg.APIKey,
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InterfaceType: ifType,
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}, ollamaService)
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}
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